Paolo Rosso
Detection of Harmful Information: Fake News & Hate Speech
13.07.2021, 1:00 PM (UTC)13.07.2021, 10:00 AM (Local*)
Paolo Rosso
Paolo Rosso is Full Professor at the Universitat Politècnica de València, where he is also a member of the PRHLT research center (http://personales.upv.es/prosso/). His research interests are focused on social media data analysis, mainly on author profiling, sarcasm detection, fake news and hate speech detection. He has published 50+ articles in journals and 400+ articles in conferences and workshops, and he is among the top 25 most cited computer science researchers in Spain (H-index: 60). Since 2014 he is Deputy Steering Committee Chair of the CLEF Association. Currently, he is the PI of the Spanish research project on MIsinformation and Miscommunication: FAKEnHATE, and member of the European Digital Media Observatory IBERIFIER on monitoring the threats of disinformation. He gave keynotes on fake news and hate speech at CICLing-2019 and TSD-2020, and a tutorial at CIKM-2020 on online harmful information. He was co-organiser of the shared task at PAN on Fake news spreaders on Twitter. His work on the detection of false information and hate speech was covered by Spanish media, and recently he gave a webinar at Spain AI on Detection of harmful information: fake news, conspiracy theories and hate speech. He has been advisor of 23 PhD students: the last PhD thesis (2020) was On the detection of false information: from rumors to fake news.
Social media platforms have given the opportunity to users to publish content and express their opinions online in a very fast and easy way. The ease of posting content online and the anonymity of social media have increased the amount of harmful content that is published. After an introduction of online harmful information including definitions and characteristics of the different types of harmful information, we will present and discuss different approaches that have been proposed for fake news and hate speech detection.